FINDING SOCIAL AND POLITICAL PREJUDICES IN PUBLIC DISCOURSE? A CASE STUDY ON THE 2007 AND 2012 PRESIDENTIAL FRENCH CAMPAIGNS
| Autor: | Fabienne Baider |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
[shs:langue] humanities and social sciences/linguistics
[shs:langue] sciences de l'homme et société/linguistique automatic reading gender stereotypes journalistic discourse french presidential campaign History of scholarship and learning. The humanities AZ20-999 Bibliography. Library science. Information resources |
| Zdroj: | Journal of Data Mining and Digital Humanities, Vol 2014 (2014) |
| Druh dokumentu: | article |
| ISSN: | 2416-5999 |
| DOI: | 10.46298/jdmdh.3 |
| Popis: | In this research we suggest that working on a journalistic corpus with specific softwares can help studying linguistic patterns and choices which are made on the basis of political affiliation or gender stereotypes. The software SEMY for instance gives semantic profiles semi-automatically, ANTCONC gives useful KWIC abstracts and TERMOSTAT works on discourse specificities. Using all of these tools we found convergent striking asymmetries between female and male candidates in journalistic discourse (however conditionally) as far as our corpus dedicated to the 2007 and the 2012 presidential campaigns are concerned. Social gender' (i.e. stereotypical expectations about who will be a typical member of a given category) and / or political favoritism affect the representation of leadership in discourse and may affect in turn the readership, hence the electorate. |
| Databáze: | Directory of Open Access Journals |
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